. 2019 Oct 22;124(2):274–287. doi: 10.1038/s41437-019-0273-4

Table 5.

Accuracies for non-genotyped individuals using single- and multi-trait models in scenario N5

Trait¹	Region size²	Single-trait³			Multi-trait
Trait¹	Region size²	ssSNPB1	ssBayesN0	ssSNPB2	ssSNPB1	ssBayesN0	ssSNPB2
L⁴	1 SNP	_a0.328^c	_a0.325^c	_a0.326^c	_a0.357^a	_a0.353^b	_a0.355^ab
	100 SNPs	_a0.327^b	_a0.327^b	_a0.326^b	_a0.357^a	_a0.355^a	_a0.355^a
	1 Chr	_a0.324^c	_a0.325^c	_a0.324^c	_ab0.349^ab	_a0.347^b	_a0.350^a
	WG	_a0.327^b	_a0.325^b	_a0.327^ab	_b0.343^ab	_a0.350^b	_a0.352^a
H	1 SNP	_a0.506^d	_b0.507^cd	_a0.510^b	_a0.508^bc	_ab0.509^b	_a0.512^a
	100 SNPs	_a0.507^c	_a0.511^ab	_a0.511^ab	_a0.509^bc	_a0.512^ab	_a0.512^a
	1 Chr	_ab0.503^b	_bc0.504^ab	_b0.504^ab	_ab0.505^a	_bc0.505^ab	_b0.506^ab
	WG	_b0.503^b	_c0.503^b	_b0.503^b	_b0.504^ab	_c0.506^a	_b0.506^a

¹L and H: low (0.1) and high (0.4) heritability traits, respectively

²Chr chromosome, WG whole genome

³ssSNPB1 and ssSNPB2: Single-step SNPBLUP, for which the variance components were obtained from BayesN0 and ssBayesN0, respectively

⁴Different alphabets mean significantly different values at a Type 1 error rate of 0.05 with Bonferroni correction. Subscripts and superscripts stand for comparisons within column and row, respectively, for each trait